Jafar Tanha
Orcid: 0000-0002-0779-6027
According to our database1,
Jafar Tanha
authored at least 55 papers
between 2010 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
YM-WML: A new Yolo-based segmentation Model with Weighted Multi-class Loss for medical imaging.
CoRR, June, 2025
EnsembleSleepNet: a novel ensemble deep learning model based on transformers and attention mechanisms using multimodal data for sleep stages classification.
Appl. Intell., May, 2025
SSSA: low data sentiment analysis using boosting semi-supervised approach and deep feature learning network.
Appl. Intell., February, 2025
IEEE Trans. Neural Networks Learn. Syst., January, 2025
VCoFWMVIFCM: An open-source code for viewpoint-based collaborative feature-weighted multi-view intuitionistic fuzzy clustering.
Softw. Impacts, 2025
A Weighted Semi-supervised Possibilistic Fuzzy c-Means algorithm for data stream classification and emerging class detection.
Knowl. Based Syst., 2025
Graph theory-based semi-supervised self-training for data stream classification and emerging class detection.
Inf. Sci., 2025
Viewpoint-Based Collaborative Feature-Weighted Multi-View Intuitionistic Fuzzy Clustering Using Neighborhood Information.
Neurocomputing, 2025
Corrections to "A Semi-Supervised Learning Approach to Quality-Based Web Service Classification".
IEEE Access, 2025
A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events.
IEEE Access, 2025
2024
Ensemble of deep learning techniques to human activity recognition using smart phone signals.
Multim. Tools Appl., December, 2024
Multim. Tools Appl., November, 2024
Image classification with consistency-regularized bad semi-supervised generative adversarial networks: a visual data analysis and synthesis.
Vis. Comput., October, 2024
A novel individual-relational consistency for bad semi-supervised generative adversarial networks (IRC-BSGAN) in image classification and synthesis.
Appl. Intell., October, 2024
J. Supercomput., March, 2024
SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning.
Softw. Impacts, 2024
Pattern Recognit., 2024
A novel deep learning model based on transformer and cross modality attention for classification of sleep stages.
J. Biomed. Informatics, 2024
IET Softw., 2024
An experimental review of the ensemble-based data stream classification algorithms in non-stationary environments.
Comput. Electr. Eng., 2024
A deep ensemble medical image segmentation with novel sampling method and loss function.
Comput. Biol. Medicine, 2024
Feature-weight and cluster-weight learning in fuzzy c-means method for semi-supervised clustering.
Appl. Soft Comput., 2024
Adaptive deep learning models for efficient multivariate anomaly detection in IoT infrastructures.
Appl. Soft Comput., 2024
IEEE Access, 2024
An Attention-Based Convolutional Recurrent Neural Networks for Scene Text Recognition.
IEEE Access, 2024
2023
AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19.
Evol. Syst., December, 2023
OUBoost: boosting based over and under sampling technique for handling imbalanced data.
Int. J. Mach. Learn. Cybern., October, 2023
IMBoost: A New Weighting Factor for Boosting to Improve the Classification Performance of Imbalanced Data.
Complex., 2023
Appl. Intell., 2023
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023
Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023
2022
Multim. Tools Appl., 2022
Inf. Sci., 2022
Druggable protein prediction using a multi-canal deep convolutional neural network based on autocovariance method.
Comput. Biol. Medicine, 2022
Proceedings of the 27th International Computer Conference, Computer Society of Iran, 2022
2021
Inf. Process. Manag., 2021
A novel semi-supervised ensemble algorithm using a performance-based selection metric to non-stationary data streams.
Neurocomputing, 2021
Deep learning for COVID-19 diagnosis based feature selection using binary differential evolution algorithm.
CoRR, 2021
COVID-19 Detection Using Deep Convolutional Neural Networks and Binary Differential Algorithm-Based Feature Selection from X-Ray Images.
Complex., 2021
2020
Boosting methods for multi-class imbalanced data classification: an experimental review.
J. Big Data, 2020
STDS: self-training data streams for mining limited labeled data in non-stationary environment.
Appl. Intell., 2020
Proceedings of the Topics in Theoretical Computer Science, 2020
2019
Int. J. Mach. Learn. Cybern., 2019
2018
Neurocomputing, 2018
2017
Int. J. Mach. Learn. Cybern., 2017
2015
An LDA-based Topic Selection Approach to Language Model Adaptation for Handwritten Text Recognition.
Proceedings of the Recent Advances in Natural Language Processing, 2015
Crossing the lines: making optimal use of context in line-based Handwritten Text Recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
Combining higher-order N-grams and intelligent sample selection to improve language modeling for Handwritten Text Recognition.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
An Intelligent Sample Selection Approach to Language Model Adaptation for Hand-Written Text Recognition.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014
2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Multiclass Semi-supervised Learning for Animal Behavior Recognition from Accelerometer Data.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
2010
Proceedings of the Collaborative Networks for a Sustainable World, 2010